Cancer Imaging最新文献

{"title":"Prognostic significance of ¹⁸F-FDG PET/CT parameters in soft tissue sarcoma: a systematic review and meta-analysis.","authors":"Shaoli Li, Rui Bai, Hui Wang, Qunan Sun, Guannan Wang, Sujing Jiang, Ying Dong","doi":"10.1186/s40644-025-00912-x","DOIUrl":"https://doi.org/10.1186/s40644-025-00912-x","url":null,"abstract":"<p><strong>Background: </strong>The role of ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) parameters to predict prognosis for patients with soft tissue sarcoma (STS) remains controversial.</p><p><strong>Objectives: </strong>This meta-analysis aimed to systematically evaluate the prognostic significance of ¹⁸F-FDG PET/CT parameters in STS.</p><p><strong>Design: </strong>This study is a systematic review and meta-analysis.</p><p><strong>Data sources and methods: </strong>A literature search was conducted in PubMed, Embase, and the Cochrane Library for relevant studies up to January 1st, 2024. Studies exploring the association of maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) with overall survival (OS) and progression-free survival (PFS) in STS were included. Pooled hazard ratio (HR) with 95% confidence interval (CI) was calculated using random-effects models.</p><p><strong>Results: </strong>Nineteen studies with 962 patients were included in our meta-analysis. Among these, 16 studies evaluated the correlation between the SUVmax and OS, 10 studies assessed the relationship between MTV and OS, 9 studies examined the association of TLG with OS, and 8 studies investigated the prognostic value of SUVmax in relation to PFS. The pooled HRs of SUVmax, MTV, and TLG for OS were 1.17 (95% CI: 1.07-1.27),1.87 (95% CI: 1.16-3.03), and 2.00 (95% CI: 0.99-4.01), respectively. For PFS, the pooled HR of SUVmax was1.62 (95% CI: 1.14-2.31).</p><p><strong>Conclusion: </strong>This meta-analysis indicates that the metabolic parameter SUVmax derived from ¹⁸F-FDG PET/CT is significantly associated with poor prognosis in STS, for both OS and PFS. Additionally, MTV was significantly correlated with poor OS, whereas TLG did not show a significant relationship with prognosis in patients with STS.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"94"},"PeriodicalIF":3.5,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammation as a mediator between neck adipose tissue and tumor aggressiveness in hypopharyngeal and laryngeal squamous cell carcinoma.","authors":"Yu Jiang, Xiaodong Ji, Shanshan Gao, Xiaohuang Yang, Qing Li, Zhuo Yu, Xilong Yang, Zhuo Shen, Jie Shen, Shuang Xia","doi":"10.1186/s40644-025-00913-w","DOIUrl":"https://doi.org/10.1186/s40644-025-00913-w","url":null,"abstract":"<p><strong>Background: </strong>The impact of neck adipose tissue (NAT) on the invasiveness of hypopharyngeal squamous cell carcinoma (HPSCC) and laryngeal squamous cell carcinoma (LSCC) remains uncertain. We investigated the roles of NAT and derived - neutrophil to lymphocyte ratio (dNLR) in the aggressiveness of HPSCC and LSCC, and established an adipose- inflammation-aggressiveness axis to identify high-risk factors.</p><p><strong>Methods: </strong>This retrospective study involved 412 patients with HPSCC or LSCC. Clinical characteristics, body mass index (BMI), NAT and dNLR were collected and calculated. Logistic regression models, restricted cubic splines (RCS) and mediation analysis were employed to evaluate the associations between NAT, dNLR and the aggressiveness of HPSCC and LSCC.</p><p><strong>Results: </strong>The cohort included 412 patients (mean age, 63 years; 93.69% male). Lower NAT was independently associated with advanced TNM stage (adjusted Odds Ratio [OR], 0.54; p = 0.015) and tumor local invasion (adjusted OR, 0.53; p = 0.008). Higher dNLR was significantly associated with advanced TNM stage (adjusted OR, 3.26; p < 0.001), lymph node metastasis (LNM) (adjusted OR, 1.40; p = 0.021), and tumor local invasion (adjusted OR, 2.29; p < 0.001). NAT showed a modest negative correlation with dNLR (R = -0.138, p = 0.005). Mediation analysis indicated that dNLR partially mediated the relationship between NAT and tumor aggressiveness.</p><p><strong>Conclusions: </strong>Reduced NAT is associated with increased tumor aggressiveness in HPSCC and LSCC, and this relationship may be partially mediated by elevated dNLR. The association appeared more pronounced in male patients. These findings suggest that local adiposity and inflammation may play a role in tumor behavior and warrant further investigation in future studies.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"95"},"PeriodicalIF":3.5,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy.","authors":"Ruohua Chen, Ye Li, Dong Liang, Jianjun Liu, Tao Sun","doi":"10.1186/s40644-025-00907-8","DOIUrl":"10.1186/s40644-025-00907-8","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objectives: &lt;/strong&gt;This study aims to assess the predictive capability of PSMA-PET imaging for disease outcomes in primary prostate cancer post-radical prostatectomy. In addition to conventional lesion uptake measures, the evaluation includes the distance of lesion to the prostate to enhance risk stratification and outcome prediction.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A cohort of 190 men diagnosed with primary prostate cancer and undergoing prostatectomy were initially screened, resulting in 103 patients meeting the selection criteria. Imaging parameters, including lesion SUVmax, primary metabolic tumor volume (PMTV), maximum distance from the lesion to the prostate (Dmax), and total distances from the lesion to the prostate (Dtotal), were extracted from 68Ga-PSMA-11 PET images. Findings were dichotomized based on primary lesion uptake, the tumor volume size, Dmax distance, and the presence of metastatic disease. Postoperative biochemical recurrence-free survival (BCRFS) was analyzed using Kaplan-Meier survival plots and Log-rank tests. Furthermore, univariate and multivariate Cox regression analyses were performed to evaluate the association of PET parameters with survival outcomes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Clinical and histopathological characteristics were summarized, including age, weight, height, metastasis status, baseline PSA, biopsy Gleason score, pt stage, margin status, and lymph node status. After a median follow-up of 20 months, 66 events occurred, with the estimated 3-year BCRFS being 46%. Increased PSMA intensity (SUVmax &gt; 17.06) was associated with less favorable BCRFS (log-rank p = 0.017). Increased primary metabolic tumor volume (PMTV &gt; 41.59 cm&lt;sup&gt;3&lt;/sup&gt;) was also linked to less favorable BCRFS (log-rank p = 0.003). Dmax and Dtotal greater than 9.69 cm and 11.95 cm were identified as negative prognostic factors for BCRFS (log-rank p &lt; 0.001 and p = 0.002, respectively). Based on PMTV and Dmax, patients were stratified into low-, intermediate-, and high-risk groups, with 3-year BCRFS rates of 57%, 31%, and 8%, respectively. Univariate Cox regression analysis revealed significant associations between BCRFS and factors such as baseline PSA (HR: 1.69, 95% CI 1.02-2.79, p = 0.042), SUVmax (HR: 1.56, 95% CI 1.04-1.91, p = 0.018), PMTV (HR: 2.05, 95% CI 1.26-3.34, p = 0.004), Dmax (HR: 2.24, 95% CI 1.37-3.65, p = 0.001), and Dtotal (HR: 2.11, 95% CI 1.29-3.45, p = 0.003). Multivariable Cox regression analysis identified the best model with PMTV (HR: 2.57, p = 0.004) and Dmax (HR: 1.98, p = 0.009) as independent predictors for biochemical recurrence (C-index = 0.68).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;The lesion distance to prostate was defined and assessed in conjunction with conventional PET parameters to facilitate preoperative risk stratification in primary prostate cancer following radical prostatectomy. The findings contribute to improved outcome prediction and emphasize the potential of PSMA-PET imaging in enh","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"93"},"PeriodicalIF":3.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12281684/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.","authors":"Yu Liu, Xiaobei Duan, Xiaojuan Chen, Kunwei Li, Qiong Li, Ke Liu, Wansheng Long, Huan Lin, Bao Feng, Xiangmeng Chen","doi":"10.1186/s40644-025-00911-y","DOIUrl":"10.1186/s40644-025-00911-y","url":null,"abstract":"<p><strong>Background: </strong>While the TNM staging system provides valuable insights into the extent of disease, predicting postoperative progression in early-stage non-small cell lung cancer (NSCLC) remains a significant challenge. An effective bioimaging prognostic marker for early-stage NSCLC, powered by artificial intelligence, could greatly assist clinicians in making informed treatment decisions.</p><p><strong>Methods: </strong>A total of 926 patients from four centers (A, B, C, and D) with histologically confirmed stage I or II solid non-small cell lung cancer (NSCLC) who underwent surgical resection were retrospectively reviewed. In this study, we propose a robust federated learning model (RFed) designed to predict the risk of postoperative progression in early-stage NSCLC patients. The diagnostic efficiency of the RFed model was evaluated using the area under the curve (AUC) and Decision Curve Analysis (DCA). Additionally, the model's performance was further validated through Kaplan-Meier survival analysis, with statistical significance assessed using the log-rank test. Finally, the robustness, generalizability, and interpretability of the RFed model were comprehensively evaluated to confirm its clinical applicability.</p><p><strong>Results: </strong>Experimental results demonstrated the superior performance of the RFed model. Specifically, RFed achieved AUC values of 0.936, 0.861, 0.925, and 0.970 on the test sets from the four centers. DCA further revealed that RFed provided a greater net benefit compared to the clinical model across a threshold probability range of 0.02 to 0.99. Moreover, Kaplan-Meier curves showed improved discrimination between high-risk and low-risk groups when compared to other models, highlighting its enhanced predictive capability.</p><p><strong>Conclusions: </strong>The RFed model demonstrates significant effectiveness in predicting the risk of postoperative progression in early-stage NSCLC patients. Its clinical application value lies in its potential to enhance stratified management and support the development of precise treatment strategies for this patient population.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"92"},"PeriodicalIF":3.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12273366/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144667238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The tumour sink effect on ⁶⁸Ga-PSMA-PET/CT in metastatic castration-resistant prostate cancer and its implications for PSMA-RPT: a sub-analysis of the 3TMPO study.","authors":"Atefeh Zamanian, Étienne Rousseau, François-Alexandre Buteau, Frédéric Arsenault, Alexis Beaulieu, Geneviève April, Daniel Juneau, Nicolas Plouznikoff, Éric E Turcotte, Catherine Allard, Patrick O Richard, Fred Saad, Brigitte Guérin, Frédéric Pouliot, Jean-Mathieu Beauregard","doi":"10.1186/s40644-025-00910-z","DOIUrl":"10.1186/s40644-025-00910-z","url":null,"abstract":"<p><strong>Background: </strong>The tumour sink effect is a phenomenon whereby the sequestration of a radiopharmaceutical in cancer lesions leads to decreased activity concentration in the blood stream and organs. The aim of this sub-analysis of the prospective 3TMPO study (NCT04000776) was to investigate the tumour sink effect on prostate-specific membrane antigen (PSMA) PET imaging in a population of patients with metastatic castration-resistant prostate cancer (mCRPC).</p><p><strong>Methods: </strong>Ninety-seven participants underwent ⁶⁸Ga-PSMA-617 PET/CT imaging. The activity concentration in the kidney, parotid, spleen, liver and blood was expressed as a percentage of injected activity per cubic centimetre (%IA/cm³). The total tumour volume was delineated, and the total lesion fraction (TLF), i.e., the percentage of injected activity sequestered in the tumour, was computed. Participants were stratified into three tumour burden groups: small (TLF < 10%), moderate (10% ≤ TLF < 25%), and large (TLF ≥ 25%). Weight, lean body weight, body surface area, and estimated glomerular filtration rate (eGFR) were investigated as additional factors affecting biodistribution.</p><p><strong>Results: </strong>The TLF ranged from 0.0 to 43.5%. For all healthy tissues, the %IA/cm³ was negatively correlated with TLF (r ranging - 0.33 to - 0.46; P < 0.001). Patients with a large TLF had significantly lower uptake in all organs when compared to those with a small TLF (P < 0.05). Body habitus indices and/or eGFR were negatively correlated with the %IA/cm³ of the parotid, liver and blood (r ranging - 0.23 to - 0.33; P < 0.05). Combining predictive variables, the term [BSA / (1-TLF)] tended to yield the strongest negative correlations with healthy tissues %IA/cm³ (r ranging - 0.33 to - 0.63; P < 0.001).</p><p><strong>Conclusion: </strong>The tumour sink effect was observed in a cohort of mCRPC patients scanned with ⁶⁸Ga-PSMA-617. This finding strongly suggests that patients with a large TLF are likely to receive lower absorbed doses to organs at risk - i.e., be undertreated from a dosimetry perspective - following a fixed-activity regime of ¹⁷⁷Lu-PSMA-617 radiopharmaceutical therapy, as commonly practiced. Individual factors such as body habitus and renal function further impact the biodistribution of PSMA radiopharmaceuticals.</p><p><strong>Trial registration: </strong>NCT04000776, registered on 2019-06-27.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"91"},"PeriodicalIF":3.5,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261768/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144641885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of four-dimensional CT and Sestamibi SPECTCT in the localization management of primary hyperparathyroidism.","authors":"Jun Yang, Xili Lu, Pingping Zhou, Zhonghui Gao, Cheng Ding, Wanwen Weng, Linpeng Yao, Xinhui Su","doi":"10.1186/s40644-025-00897-7","DOIUrl":"10.1186/s40644-025-00897-7","url":null,"abstract":"<p><strong>Objective: </strong>Accurate preoperative imaging localization is paramount to the success of targeted parathyroidectomy for primary hyperparathyroidism (PHPT). Four-dimensional (4D) CT is a promising method for preoperative localization of the parathyroid, but studies on the performance of 4D CT and technetium 99 m-sestamibi SPECT/CT for the diagnosis of diseases of the parathyroid are limited.</p><p><strong>Materials and methods: </strong>To compare the diagnostic performance of sestamibi SPECT/CT and 4D-CT for preoperative localization in patients with PHPT in a single-institution from August 2017 to May 2024.</p><p><strong>Results: </strong>Two hundred forty-two patients with PHPT (166 females; 52.5 years ± 13.4 [SD]) were evaluated. Among the 242 patients, 233 patients (96.3%) had single-gland disease, and 9 patients (3.7%) had multigland disease. Similar diagnostic performance was observed for sestamibi SPECT/CT and 4D-CT ([receiver operating characteristic ROC], 0.90 [95% CI: 0.87, 0.92] and 0.88 [95% CI: 0.85, 0.90], respectively; p = 0.11). Compared with 4D-CT, combined-modality sensitive reading and sestamibi SPECT/CT had the highest ROC, and, although there was no significant difference between the two (ROC, 0.91; 95% CI: 0.89, 0.93; p = 0.14), they significantly differed from 4D-CT (p = 0.0006). Sestamibi SPECT/CT showed an accuracy of 92% (95% CI: 90%, 94%), similar to 4D-CT (91%; 95% CI: 89%, 92%), combined-modality sensitive reading (91%; 95% CI: 89%, 93%) and combined-modality specificity reading (92%; 95% CI: 90%, 94%).</p><p><strong>Conclusion: </strong>Sestamibi SPECT/CT has high accuracy in preoperative localization in patients with PHPT. Compared with sestamibi SPECT/CT alone, 4D-CT and combined-modality reading did not improve diagnostic performance.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"90"},"PeriodicalIF":3.5,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144616329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation into the efficiency and prognostic elements of CT-guided ¹²⁵I particle implantation for liver cancer.","authors":"Yuxiao Xia, Quanyu Zhou, Xue Jiang, Wenling Tu, Qian Liu, Liangshan Li, Yuhong Shi","doi":"10.1186/s40644-025-00909-6","DOIUrl":"10.1186/s40644-025-00909-6","url":null,"abstract":"<p><strong>Purpose: </strong>This study assessed the effectiveness and prognostic factors of CT-guided ¹²⁵I seed implantation for primary hepatocellular carcinoma (HCC).</p><p><strong>Methods: </strong>A retrospective analysis of 71 patients (57 males, 14 females, median age 64) treated at three Chinese hospitals from 2018 to 2024 was conducted. The main outcomes were local progression-free survival (LPFS) and overall survival (OS). Treatment involved a 16-slice Spiral CT and Radioactive Particle Treatment Planning System (TPS), with seeds of 18.5-29.6 MBq implanted via freehand puncture. Efficacy was evaluated using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) at three months, with follow-ups every three months for three years, then biannually until December 2024. Data analysis utilized SPSS 22.0, Kaplan-Meier, and Cox models.</p><p><strong>Results: </strong>With a median follow-up of 37 months, the complete response (CR) rate was 57.7%, partial response (PR) 31.0%, stable disease (SD) 5.6%, and progressive disease (PD) 5.6%. Local control was 94.3%. LPFS rates at 1, 3, and 5 years were 74.6%, 29.5%, and 1.4% (median LPFS 22 months), while overall survival (OS) rates were 88.7%, 47.8%, and 12.6% (median OS 35 months). CR was a key protective factor for LPFS and OS. Significant factors included the Barcelona Clinic Liver Cancer (BCLC) stage C, intrahepatic progression, and extrahepatic metastasis. Postoperative complications occurred in 35.2% of patients, with no severe cases.</p><p><strong>Conclusion: </strong>CT-guided ¹²⁵I seed implantation is effective and safe for primary HCC, with CR being crucial for survival. Large-scale studies are needed to confirm these results.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"89"},"PeriodicalIF":3.5,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144616330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current evidence and strategies for preventing tumor recurrence following thermal ablation of papillary thyroid carcinoma.","authors":"Ru Li, Luyang Yang, Ming Xu, Baofeng Wu, Qinhao Liu, Qin An, Yuchen Sun, Yi Zhang, Yunfeng Liu","doi":"10.1186/s40644-025-00908-7","DOIUrl":"10.1186/s40644-025-00908-7","url":null,"abstract":"<p><strong>Background: </strong>The incidence of papillary thyroid carcinoma (PTC) has been increasing, and thermal ablation has emerged as a minimally invasive alternative to surgery for low-risk cases. However, post-ablation tumor progression remains a significant clinical challenge.</p><p><strong>Methods: </strong>This review synthesizes existing literature on tumor progression after thermal ablation for PTC, analyzing potential causes and evaluating preventive strategies at different diagnostic and treatment stages.</p><p><strong>Results: </strong>Current research reports indicate that the probability of disease progression following thermal ablation for PTMC ranges from 1.25 to 7.7%, a rate comparable to that of surgical management. Nodules exceeding 10 mm in diameter are associated with a higher risk of post-procedural progression. However, pathological evidence supporting these findings remains limited. Risk factors such as suboptimal patient selection and tumor proximity to critical structures further influence outcomes. Improved imaging guidance, standardized protocols, and stringent follow-up may reduce these complications.</p><p><strong>Conclusion: </strong>When these recommendations are followed, thermal ablation for PTMC achieves effective reduction in tumor progression risk and represents a viable alternative for appropriately selected patients. However, expansion of its indications requires further robust evidence from large-scale, pathology-based studies.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"88"},"PeriodicalIF":3.5,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144599528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.","authors":"Mengting Gu, Wenjie Zou, Huilin Chen, Ruilin He, Xingyu Zhao, Ningyang Jia, Wanmin Liu, Peijun Wang","doi":"10.1186/s40644-025-00895-9","DOIUrl":"10.1186/s40644-025-00895-9","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objectives: &lt;/strong&gt;The purpose of this study is to mainly develop a predictive model based on clinicoradiological and radiomics features from preoperative gadobenate-enhanced (Gd-BOPTA) magnetic resonance imaging (MRI) using multilayer perceptron (MLP) deep learning to predict vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A total of 230 patients with histopathologically confirmed HCC who underwent preoperative Gd-BOPTA MRI before hepatectomy were retrospectively enrolled from three hospitals (144, 54, and 32 in training, test, and validation set, respectively). Univariate and multivariate logistic regression analyses were used to determine independent clinicoradiological predictors significantly associated with VETC, which then constituted the clinicoradiological model. Regions of interest (ROIs) included four modes, intratumoral (Tumor), peritumoral area ≤ 2 mm (Peri2mm), intratumoral + peritumoral area ≤ 2 mm (Tumor + Peri2mm) and intratumoral integrated with peritumoral ≤ 2 mm as a whole (TumorPeri2mm). A total of 7322 radiomics features were extracted respectively for ROI(Tumor), ROI(Peri2mm), ROI(TumorPeri2mm) and 14644 radiomics features for ROI(Tumor + Peri2mm). Least absolute shrinkage and selection operator (LASSO) and univariate logistic regression analysis were used to select the important features. Seven different machine learning classifiers respectively combined the radiomics signatures selected from four ROIs to constitute different models, and compare the performance between them in three sets and then select the optimal combination to become the radiomics model we need. Then a radiomics score (rad-score) was generated, which combined significant clinicoradiological predictors to constituted the fusion model through multivariate logistic regression analysis. After comparing the performance of the three models using area under receiver operating characteristic curve (AUC), integrated discrimination index (IDI) and net reclassification index (NRI), choose the optimal predictive model for VETC prediction.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Result: &lt;/strong&gt;Arterial peritumoral enhancement and peritumoral hypointensity on hepatobiliary phase (HBP) were independent risk factors for VETC, and constituted the Radiology model, without any clinical variables. Arterial peritumoral enhancement defined as the enhancement outside the tumor boundary in the late stage of arterial phase or early stage of portal phase, extensive contact with the tumor edge, which becomes isointense during the DP. MLP deep learning algorithm integrated radiomics features selected from ROI TumorPeri2mm was the best combination, which constituted the radiomics model (MLP model). A MLP score (MLP_score) was calculated then, which combining the two radiology features composed the fusion model (Radiology MLP model), with AUCs of 0.871, 0.894, 0.918 in the training, test and validation sets. Compared with ","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"87"},"PeriodicalIF":3.5,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12232782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144583096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study.","authors":"Stephan M Korn, Zhiyu Qian, Hanna Zurl, Nathaniel Hansen, Klara K Pohl, Daniel Stelzl, Filippo Dagnino, Stuart Lipsitz, Jianyi Zhang, Adam S Kibel, Caroline M Moore, Kerry L Kilbridge, Shahrokh F Shariat, Stacy Loeb, Hebert Alberto Vargas, Quoc-Dien Trinh, Alexander P Cole","doi":"10.1186/s40644-025-00898-6","DOIUrl":"10.1186/s40644-025-00898-6","url":null,"abstract":"<p><strong>Background: </strong>Potential rural-urban differences in prostate cancer care are understudied, particularly regarding the utilization of advanced diagnostic tests. Herein we examined variations in Positron Emission Tomography (PET) utilization for prostate cancer care, including diagnosis, staging and treatment planning, across residential regions in the United States.</p><p><strong>Methods: </strong>Patients newly diagnosed with prostate cancer between 2019 and 2021 and post-diagnostic PETs were identified using full Medicare claims data. PET use was assessed in all newly diagnosed patients, though indications vary by risk. Patients' counties were categorized as metro, urban, or rural, from most to least urbanized. Regional PET utilization was further examined at the level of hospital referral regions. A multivariable logistic regression model was performed to assess the impact of rurality on PET imaging. A secondary analysis included an interaction term for race to explore the effect of residence on PET imaging by racial group.</p><p><strong>Results: </strong>Overall, 495 865 patients were included in the analysis: 393 861 (79.4%) lived in metro, 56 698 (11.4%) in urban and 39 707 (8.0%) in rural counties. Patients in metro counties underwent PET imaging more often (8.4%) than patients in urban (7.3%) or rural counties (7.2%), p < 0.0001. At a level of hospital referral region, PET utilization rates ranged from 2.2 to 20.8%. PET imaging was more commonly performed in White compared to Black or Hispanic patients. Rural patients were less likely to undergo PET imaging compared to metro patients (odds ratio [OR] 0.87, 95% Confidence interval [CI]: 0.82-0.92 p < 0.0001). Rural Black (OR 0.69, 95%CI 0.57-0.83, p < 0.0001) and rural White patients (OR 0.89, 95%CI 0.83-0.94 p < 0.0001) were less likely to obtain PET imaging compared to their metro counterparts, p-interaction < 0.0001.</p><p><strong>Conclusion: </strong>Rural patients were less likely to undergo PET imaging than metro patients. The effect of rurality was most pronounced among Black patients. Our findings underscore the need for strategies to support equitable use of PET imaging.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"86"},"PeriodicalIF":3.5,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12231898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144564619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}